Faster window Fourier transform filters for fringe pattern analysis

Le Tran Hoai Nam; Kemao Qian

doi:10.1117/12.814529

3 October 2008 Faster window Fourier transform filters for fringe pattern analysis

Le Tran Hoai Nam, Kemao Qian

Proceedings Volume 7155, Ninth International Symposium on Laser Metrology; 71550T (2008) https://doi.org/10.1117/12.814529
Event: Ninth International Symposium on Laser Metrology, 2008, Singapore, Singapore

Abstract

Windowed Fourier Transform (WFT) filters, including Windowed Fourier Filtering (WFF) and Windowed Fourier Ridges (WFR), have recently been proven to be effective in analyzing fringes affected from speckle as well as various kinds of noise. These filters deliver high quality results since they process in the windowed Fourier domain which is more robust to noise than the spatial domain. However WFT is relatively slow because of convolution or Fourier transform needs to be executed for many times. In this paper, a revised version of WFT filters are proposed that reduces execution time yet offers almost the same result. Experiments are carried out to backup the theory.

Citation Download Citation

Le Tran Hoai Nam and Kemao Qian "Faster window Fourier transform filters for fringe pattern analysis", Proc. SPIE 7155, Ninth International Symposium on Laser Metrology, 71550T (3 October 2008); https://doi.org/10.1117/12.814529

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